Connecting SAP BW to Azure Synapse for Modern Analytics Reporting (A Practical Guide)

Data Analytics /

January 16, 2026 at 12:17 PM | Est. read time: 15 min By Valentina Vianna Community manager and producer of specialized marketing content Organizations that rely on SAP BW (Business Warehouse) often reach a point where traditional reporting feels limiting-especially when teams want faster exploration, broader data blending, and scalable performance for advanced analytics. Azure […]

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Event-Driven Architecture with Redpanda (Kafka API): A Practical Guide to Building Real-Time Systems

Data Engineering /

January 16, 2026 at 11:55 AM | Est. read time: 18 min By Valentina Vianna Community manager and producer of specialized marketing content Event-driven architecture (EDA) is the backbone of modern real-time software-from fraud detection and IoT telemetry to order processing and personalized user experiences. Instead of forcing systems to constantly poll (“Has anything changed?”),

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MCP Server: The New Standard for Enterprise AI Agents (and Why It Matters Now)

Artificial Intelligence /

January 16, 2026 at 11:50 AM | Est. read time: 16 min By Valentina Vianna Community manager and producer of specialized marketing content Enterprise AI agents are moving fast-from simple chatbots and copilots to systems that can plan, take actions, retrieve internal knowledge, and operate across multiple tools. But once you move past a proof

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Redis Beyond Caching: Queues, Streaming, and Persistent Agents (With Real-World Patterns)

Data Science /

January 15, 2026 at 03:15 PM | Est. read time: 16 min By Valentina Vianna Community manager and producer of specialized marketing content When most developers hear “Redis,” they immediately think cache-and for good reason. Redis is famously fast, simple to operate, and perfect for reducing database load. But stopping there leaves a lot of

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dbt Cloud + CI/CD: Treat Analytics Engineering Like Software (Without Slowing Down)

Data Engineering /

January 15, 2026 at 12:56 PM | Est. read time: 14 min By Valentina Vianna Community manager and producer of specialized marketing content Modern data teams are expected to ship trustworthy analytics fast-while keeping definitions consistent, dashboards accurate, and costs under control. The problem? Many analytics workflows still rely on manual steps: someone updates a

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Argo CD and GitOps for Data & AI Pipelines: A Practical Guide to Reliable, Scalable Deployments

Artificial Intelligence /

January 15, 2026 at 12:49 PM | Est. read time: 21 min By Valentina Vianna Community manager and producer of specialized marketing content If you’re running Apache Airflow on Kubernetes, rolling out an MLflow tracking server, or maintaining a fleet of model-serving deployments, you’ve probably felt the pain: one “small” change to a Helm value

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DuckDB for Local Analytics: When It Can Replace a Data Warehouse (and When It Can’t)

Data Analytics /

January 14, 2026 at 12:12 PM | Est. read time: 13 min By Valentina Vianna Community manager and producer of specialized marketing content DuckDB makes “query-in-place” analytics on Parquet fast enough that some teams can skip-or at least delay-a traditional data warehouse. The trade-off is concurrency, governance, and organization-wide standardization. This guide helps you decide

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Building AI Extensions in Qlik Sense with Inference APIs: A Practical Guide for Modern Analytics Teams

Artificial Intelligence /

January 13, 2026 at 01:10 PM | Est. read time: 13 min By Valentina Vianna Community manager and producer of specialized marketing content Qlik Sense is already a powerful platform for interactive analytics—but the real leap happens when you bring AI inference APIs into the experience. Instead of exporting data to a separate tool (or

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LangGraph + Power BI: How to Automate Report Generation (Without Losing Governance)

Business Intelligence /

January 13, 2026 at 12:40 PM | Est. read time: 14 min By Valentina Vianna Community manager and producer of specialized marketing content Automated reporting sounds simple: pull data, build charts, publish insights. In reality, it often becomes a messy mix of manual exports, brittle scripts, last-minute “can you refresh this?” requests, and inconsistent metrics

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Persistent AI Agent Infrastructure with Vector Databases and Redis: A Practical, Production-Ready Blueprint

Artificial Intelligence /

January 12, 2026 at 11:58 AM | Est. read time: 14 min By Valentina Vianna Community manager and producer of specialized marketing content Persistent AI agents are no longer just a fun demo—they’re becoming the backbone of internal assistants, automated operations, and data-driven workflows. But the moment you move beyond “single chat session” prototypes, you

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